The current study aims to identify the level and proportions of smartphone addiction, and academic procrastination among university students in the light of the Corona pandemic; identify the differences in smartphone addiction, academic procrastination, and quality of life according to gender and stage of study; and revealing the predictive ability of academic procrastination and quality of life for smartphone addiction. Methods: 556 male and female students from Saudi universities participated in the study, whose ages ranged from 18 to 52 years. Measures of academic procrastination and quality of life were used, in addition to the Italian scale of smartphone addiction, which was translated and checked for validity and reliability. Results: The results revealed that 37.4% of the sample were addicted to smartphone use, while 7.7% had a high level of procrastination, and 62.8% had an average level of procrastination. The results did not show statistically significant differences in smartphone addiction and quality of life according to gender and educational stage, while there were statistically significant differences in academic procrastination according to gender in favor of males, and according to stage of education in favor of undergraduate students. The results also revealed a statistically significant positive relationship between academic procrastination and smartphone addiction, and a statistically significant negative relationship between smartphone addiction and quality of life. A negative relationship between quality of life and academic procrastination was found. The results also revealed that addiction to smartphones could be predicted through academic procrastination and quality of life.

This study explores the level and frequency of anxiety about COVID-19 infection in some Middle Eastern countries, and differences in this anxiety by country, gender, workplace, and social status. Another aim was to identify the predictive power of anxiety about COVID-19 infection, daily smartphone use hours, and age in smartphone addiction. The participants were 651 males and females from Jordan, Saudi Arabia, the United Arab Emirates, and Egypt. The participants’ ages ranged between 18 and 73 years (M 33.36, SD = 10.69). A questionnaire developed by the authors was used to examine anxiety about COVID-19 infection. Furthermore, the Italian Smartphone Addiction Inventory was used after being translated, adapted, and validated for the purposes of the present study. The results revealed that the percentages of participants with high, average, and low anxiety about COVID-19 infection were 10.3%, 37.3%, and 52.4%, respectively. The mean scores of anxiety about COVID-19 infection in the four countries were average: Egypt (M = 2.655), Saudi Arabia (M = 2.458), the United Arab Emirates (M = 2.413), and Jordan (M = 2.336). Significant differences in anxiety about COVID-19 infection were found between Egypt and Jordan, in favor of Egypt. Significant gender differences were found in favor of females in the Jordanian and Egyptian samples, and in favor of males in the Emirati sample. No significant differences were found regarding workplace and social status. The results also revealed a significant positive relationship between anxiety about COVID-19 infection, daily smartphone use hours, and age on the one hand, and smartphone addiction on the other. The strongest predictor of smartphone addiction was anxiety about COVID-19 infection, followed by daily use hours. Age did not significantly contribute to the prediction of smartphone addiction. The study findings shed light on the psychological health and cognitive aspects of anxiety about COVID-19 infection and its relation to smartphone addiction.

The increasing usage of smartphones globally necessitates the creation of reliable and valid scales to evaluate their psychological effects, particularly within academic settings such as universities. The current study aimed to identify the factorial structure of the Smartphone Addiction Inventory (SPAI) in the Republic of Yemen. The sample consisted of 1920 university students (1136 males and 784 females). The data was analyzed with the AMOS V25 statistical program. The results of the factor analysis supported the goodness of fit of the five-factor model to the data with excellent indices: RMSEA = 0.052, CFI = 0.910, GFI = 0.931, AGFI = 0.915, TLI = 0.907, NFI = 0.915, RFI = 0.916, and RMR = 0.032, all of which are within the ideal range to support the goodness of fit of the model to the factorial structure of the inventory, as the values of the explained variances ranged between 0.740 and 0.834., with indices of reliability in measurement. The results of the confirmatory factor analysis revealed that four items loaded on the Time Spent factor, four items on the Compulsivity factor, eight items on the Daily Life Interference factor, five items on the Craving factor, and three items on the Sleep Interference factor, with all loadings being statistically significant (>0.001). Based on these findings, research direction and recommendations were provided.

The Torrance Test of Creative Thinking (TTCT) is commonly used to assess creativity in pupils, but research is limited on its effectiveness in identifying cognitive levels and how factors like gender and brothers count influence creativity. This study investigates the interaction between gender and the number of brothers on creativity as assessed by the (TTCT-Figural: Circles test) among students aged 7 to 13. A cross-sectional study design was employed, involving a sample of 11,636 students, including 5571 males (47.9 %) and 6065 females (52.1 %), selected from public and private schools across Sudan. The findings demonstrated an interaction effect between gender and the number of brothers, revealing significant gender differences in (TTCT-Figural) performance, particularly across the domains of fluency, flexibility, and originality, with females outperforming males in all three areas. Notably, no gender differences in flexibility were observed at ages 10 and 13, nor in fluency at age 13, and originality showed no gender disparity across all age groups. Additionally, TTCT-Figural performance did not vary significantly across different age groups. The majority of students exhibited very low performance at age 7, with slight improvements noted at ages 8 and 9. However, after age 9, there was a decline in the number of students performing at a moderate level. Moreover, these results emphasize the importance of understanding the role of gender and familial factors, such as the number of brothers, in creativity development. The implications of this study suggest the need for targeted educational programs and policies intended at enhancing (TTCT-Figural) performance, particularly for pupils, to adoptive creativity further effectively.